MARC状态：审校 文献类型：中文图书 浏览次数：63
- 题名/责任者:
- Learning openCV 3 = 学习 OpenCV 3 / Adrian Kaehler, Gary Bradski著.
- 出版发行项:
- 南京 : 东南大学出版社, 2017.
- ISBN:
- 9787564173548
- 载体形态项:
- 2 volumes : illustrations ; 24 cm
- 变异题名:
- 学习 OpenCV 3
- 个人责任者:
- Kaehler, Adrian, author.
- 附加个人名称:
- Bradski, Gary R., author.
- 论题主题:
- Computer vision.
- 论题主题:
- Computer vision-Computer programs.
- 论题主题:
- Image processing-Digital techniques.
- 论题主题:
- Image analysis.
- 论题主题:
- Open source software.
- 中图法分类号:
- TP391.41
- 书目附注:
- Includes bibliographical references (pages 949-965) and index.
- 内容附注:
- 1. Overview -- 2. Introduction to OpenCV -- 3. Getting to know OpenCV data types -- 4. Images and Large Array Types -- 5. Array Operations -- 6. Drawing and Annotating -- 7. Functors in OpenCV -- 8. Image, Video, and Data Files -- 9. Cross-Platform and Native Windows -- 10. Filters and Convolution -- 11. General Image Transforms -- 12. Image Analysis -- 13. Histograms and Templates -- 14. Contours -- 15. Background Subtraction -- 16. Keypoints and Descriptors -- 17. Tracking -- 18. Camera Models and Calibration -- 19. Projection and Three-Dimensional Vision -- 20. The Basics of Machine Learning in OpenCV -- 21. StatModel: The Standard Model for Learning in OpenCV -- 22. Object Detection -- 23. Future of OpenCV -- A. Planar Subdivisions -- B. opencv_contrib -- C. Calibration Patterns.
- 摘要附注:
- "This book provides a working guide to the C++ Open Source Computer Vision Library (OpenCV) version 3.x and gives a general background on the field of computer vision sufficient to help readers use OpenCV effectively."--Preface.
- 原版附注:
- Reprint. Originally published : Sebastopol, CA : O'Reilly Media, 2016.
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